我试图了解如何在KeyPoint中为给定的OpenCV获取描述符。到目前为止,我的代码如下:
#include <iostream>
#include "opencv2/opencv.hpp"
typedef cv::Mat Image;
int main(int argc, const char * argv[])
{
Image imgA = cv::imread("images/buddhamulticam_total100.png",
CV_LOAD_IMAGE_GRAYSCALE);
Image imgB = cv::imread("images/buddhamulticam_total101.png",
CV_LOAD_IMAGE_GRAYSCALE);
cv::Ptr<cv::FeatureDetector> detector =
cv::FeatureDetector::create("ORB");
cv::Ptr<cv::DescriptorExtractor> descriptor =
cv::DescriptorExtractor::create("ORB");
std::vector<cv::KeyPoint> keyPointsA, keyPointsB;
keyPointsA.push_back(cv::KeyPoint(0,0,5));
keyPointsB.push_back(cv::KeyPoint(10,10,5));
cv::Mat descriptorA, descriptorB;
descriptor->compute(imgA, keyPointsA, descriptorA);
descriptor->compute(imgB, keyPointsB, descriptorB);
std::cout << "DescriptorA (" << descriptorA.rows << "," <<
descriptorA.cols << ")" << std::endl;
std::cout << "DescriptorB (" << descriptorB.rows << ","
<< descriptorB.cols << ")" << std::endl;
return 0;
}问题是我在描述符中没有数据。我遗漏了什么?您能更详细地解释传递给KeyPoint对象的参数是什么吗?我是计算机视觉+ OpenCV的新手,所以一个更好的解释(比OpenCV的文档)可能会有帮助。
发布于 2013-10-20 10:02:46
您试图在点(0,0)和(10,10)上计算ORB,但是它们太靠近图像边界,因此ORB无法计算这些位置的描述符。ORB (以及其他二进制描述符)过滤掉它们。
编辑:既然你问的是用法,我就在编辑答案。你应该把整个图像传递出去。我把它用作:
Ptr<FeatureDetector> detector = FeatureDetector::create(detector_name);
Ptr<DescriptorExtractor> descriptor = DescriptorExtractor::create(descriptor_name);
detector->detect(imgK, kp);
descriptor->compute(imgK, kp, desc);https://stackoverflow.com/questions/19467766
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